Consulting
AI consulting for companies that need it to work.
Strategy, implementation, and ongoing monitoring — for teams that have moved past "should we use AI" and need someone to build it right.
Book a callWorking systems, not slideware.
WiseChef consulting covers the full range of practical AI work: deciding what to build, building it, and keeping it running once it is live.
We do not pitch AI strategies. We do not run workshops that produce decks. We take on engagements where the output is a working system, a clear diagnosis, or a monitoring setup that gives you visibility into what your AI is doing.
Engagements are scoped up front. You know what you are getting and approximately how long it takes. If scope changes materially, we discuss it — we do not quietly expand and bill later.
Three shapes. Pick the one that matches where you are.
For teams with a direction that needs stress-testing before committing budget. We review your current AI posture, identify the highest-leverage intervention, and deliver a prioritised plan with honest effort estimates.
Output: A written findings document and a call to walk through it.
For teams ready to build. We scope, build, and deploy an agent or agent-adjacent system into your environment. Integration work, testing against real data, and a handoff that leaves your team able to maintain what we shipped.
Output: A running system, documented, with a post-launch check-in.
For teams with AI systems in production that need someone watching them. Observability setup, alert thresholds, regular output review, and flagging degradation before it becomes a user problem.
Output: Ongoing coverage, monthly summary, direct access for escalations.
Honest about fit, both ways.
Good fit
- — Small and mid-sized businesses adopting AI without a dedicated ML team.
- — Agencies that want to offer AI capabilities without hiring permanently.
- — Operations-heavy teams with obvious AI applications that have not been implemented cleanly.
Not a fit
- — Companies that want AI theatre for investor optics.
- — Engagements where the success metric is a demo rather than a working system.
- — Teams looking for someone to validate a predetermined answer.
Track record.
Case studies are in progress. The consulting practice is active; documentation of past work takes time to prepare and approve.
Adam Krawczyk has been building AI systems since before the current cycle — including computer vision and robotics through WiseVision. WiseChef applies the same engineering standards to language model systems, agents, and the infrastructure around them.
Engagements from €2,500.
The right engagement shape depends on where you are. A 30-minute call is the fastest way to figure that out.
Book a call with AdamNo sales process. No pre-call questionnaire. Just a conversation.